{"id":"W2986796947","doi":"10.1016/j.ebiom.2019.10.047","title":"Money talks—Philanthropists can foster gender and racial equity","year":2019,"lang":"en","type":"article","venue":"EBioMedicine","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Equity (law); Political science; Medicine; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003980613,0.00009299835,0.0001655553,0.00006884851,0.0001812693,0.00003237197,0.0001212835,0.00007686306,0.0009242836],"category_scores_gemma":[0.00005574536,0.00007814397,0.00002524349,0.0001647157,0.0002829521,0.00009681979,0.0001011792,0.0001022264,0.0000625933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007984034,"about_ca_system_score_gemma":0.00006367418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003745727,"about_ca_topic_score_gemma":0.001703786,"domain_scores_codex":[0.9989666,0.00004251732,0.0001270612,0.000206895,0.0003390285,0.0003178359],"domain_scores_gemma":[0.9995854,0.00004311211,0.00003907084,0.0001290234,0.00003953414,0.0001638937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001374509,0.0001334863,0.7014862,0.0003333314,0.0001303137,0.00008456079,0.1600187,7.767287e-7,0.06289712,0.01537536,0.01742248,0.04198018],"study_design_scores_gemma":[0.00324641,0.000389768,0.6110533,0.0001680355,0.00006734132,0.0000165706,0.01335643,0.00009133712,0.001268452,0.003483882,0.3661272,0.0007313336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9292312,0.0005520917,0.00006455108,0.002455209,0.001474215,0.0002706282,0.000009210405,0.00007363089,0.06586925],"genre_scores_gemma":[0.9962465,0.00005081502,0.00004526831,0.0005867428,0.0009805772,0.000003717593,0.000007625633,0.00001021355,0.002068516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3487047,"threshold_uncertainty_score":0.999989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04103329615102878,"score_gpt":0.3592281235236289,"score_spread":0.3181948273726001,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}